# TheSportsDB Multi-Sport API Wrapper (`jungle_synthesizer/thesportsdb-multi-sport-api-wrapper`) Actor Fetch leagues, teams, players, and match events from TheSportsDB — the free multi-sport metadata API covering soccer, basketball, baseball, American football, and dozens more sports worldwide. Bring your own free or Patreon API key. Results are schema-normalised and dataset-ready. - **URL**: https://apify.com/jungle\_synthesizer/thesportsdb-multi-sport-api-wrapper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Sports, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## TheSportsDB Multi-Sport API Wrapper Fetch leagues, teams, players, and match events from [TheSportsDB](https://www.thesportsdb.com/) — the free multi-sport metadata API covering soccer, basketball, baseball, American football, ice hockey, and dozens more sports worldwide. ### What You Get Each run returns one of five data types: | Data Type | Description | Sample Fields | |-----------|-------------|---------------| | `leagues` | All leagues worldwide | league_id, league_name, sport | | `teams` | All teams in a named league | team_id, team_name, team_stadium, team_country | | `players` | Player search by name | player_id, player_name, player_position, player_nationality | | `events` | Past match results for a league | event_id, event_name, home_team, away_team, home_score, away_score, season | | `seasons` | Seasons available for a league | season, league_id, league_name | All records include a `record_type` field, plus sport and league context where available. ### Input | Field | Required | Default | Description | |-------|----------|---------|-------------| | `apiKey` | No | `3` | TheSportsDB API key. The free key `3` works for testing (~30 req/min). Get a Patreon key at https://www.patreon.com/thesportsdb for higher limits. | | `dataType` | Yes | `leagues` | Which data to fetch: `leagues`, `teams`, `players`, `events`, or `seasons`. | | `leagueName` | Conditional | — | Required when `dataType` is `teams`, `events`, or `seasons`. Example: `English Premier League`. | | `playerSearch` | Conditional | — | Required when `dataType` is `players`. Example: `Ronaldo`. | | `maxItems` | No | `100` | Maximum records to return. Set to `0` for no limit. | ### Examples #### Fetch all leagues ```json { "apiKey": "3", "dataType": "leagues", "maxItems": 100 } ```` Sample output: ```json { "record_type": "league", "league_id": "4328", "league_name": "English Premier League", "sport": "Soccer" } ``` #### Fetch teams in the NBA ```json { "apiKey": "3", "dataType": "teams", "leagueName": "NBA", "maxItems": 30 } ``` #### Search players ```json { "apiKey": "3", "dataType": "players", "playerSearch": "Ronaldo", "maxItems": 10 } ``` Sample output: ```json { "record_type": "player", "player_id": "34145937", "player_name": "Cristiano Ronaldo", "player_team": "Al-Nassr", "sport": "Soccer", "player_nationality": "Portugal", "player_position": "Forward" } ``` #### Fetch past match results ```json { "apiKey": "3", "dataType": "events", "leagueName": "English Premier League", "maxItems": 50 } ``` Sample output: ```json { "record_type": "event", "event_id": "1116564", "event_name": "Arsenal vs Chelsea", "event_date": "2024-04-23", "sport": "Soccer", "league_name": "English Premier League", "home_team": "Arsenal", "away_team": "Chelsea", "home_score": "5", "away_score": "0", "season": "2023-2024" } ``` ### API Key The free demo key `3` is rate-limited to approximately 30 requests per minute and is suitable for small-volume lookups. For higher throughput or access to premium V2 endpoints, obtain a Patreon key from . ### Notes - This actor uses the TheSportsDB v1 API, which is publicly available with the free key. - All data is fetched in a single API call per run — no pagination required. - The free key returns up to 10 results per endpoint. A Patreon key returns full datasets. - Results are schema-normalised with consistent field names across all data types. ### Output Results are saved to the Apify dataset. Each item has a `record_type` field (`league`, `team`, `player`, `event`, or `season`) plus the relevant metadata fields. Null/missing fields are omitted from the output. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `apiKey` (type: `string`): Your TheSportsDB API key. Use the free demo key "3" for testing (rate-limited to ~30 req/min). Get a Patreon key at https://www.patreon.com/thesportsdb for higher limits. ## `dataType` (type: `string`): Which type of data to fetch: "leagues" (all leagues), "teams" (teams in a league), "players" (search players by name or team), "events" (past events for a league), or "seasons" (seasons for a league). ## `leagueName` (type: `string`): League name to filter teams, events, or seasons. Required when dataType is "teams", "events", or "seasons". Example: "English Premier League". ## `playerSearch` (type: `string`): Player name to search when dataType is "players". Example: "Messi". ## `maxItems` (type: `integer`): Maximum number of records to return (0 = no limit). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "apiKey": "3", "dataType": "leagues", "leagueName": "English Premier League", "playerSearch": "Ronaldo", "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "apiKey": "3", "dataType": "leagues", "leagueName": "English Premier League", "playerSearch": "Ronaldo", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/thesportsdb-multi-sport-api-wrapper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "apiKey": "3", "dataType": "leagues", "leagueName": "English Premier League", "playerSearch": "Ronaldo", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/thesportsdb-multi-sport-api-wrapper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "apiKey": "3", "dataType": "leagues", "leagueName": "English Premier League", "playerSearch": "Ronaldo", "maxItems": 10 }' | apify call jungle_synthesizer/thesportsdb-multi-sport-api-wrapper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/thesportsdb-multi-sport-api-wrapper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "TheSportsDB Multi-Sport API Wrapper", "description": "Fetch leagues, teams, players, and match events from TheSportsDB — the free multi-sport metadata API covering soccer, basketball, baseball, American football, and dozens more sports worldwide. Bring your own free or Patreon API key. Results are schema-normalised and dataset-ready.", "version": "0.1", "x-build-id": "XQKQ7Tivt9TGk8dQw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~thesportsdb-multi-sport-api-wrapper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-thesportsdb-multi-sport-api-wrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~thesportsdb-multi-sport-api-wrapper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-thesportsdb-multi-sport-api-wrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~thesportsdb-multi-sport-api-wrapper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-thesportsdb-multi-sport-api-wrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "apiKey": { "title": "API Key", "type": "string", "description": "Your TheSportsDB API key. Use the free demo key \"3\" for testing (rate-limited to ~30 req/min). Get a Patreon key at https://www.patreon.com/thesportsdb for higher limits.\n", "default": "3" }, "dataType": { "title": "Data Type", "enum": [ "leagues", "teams", "players", "events", "seasons" ], "type": "string", "description": "Which type of data to fetch: \"leagues\" (all leagues), \"teams\" (teams in a league), \"players\" (search players by name or team), \"events\" (past events for a league), or \"seasons\" (seasons for a league).\n", "default": "leagues" }, "leagueName": { "title": "League Name", "type": "string", "description": "League name to filter teams, events, or seasons. Required when dataType is \"teams\", \"events\", or \"seasons\". Example: \"English Premier League\".\n" }, "playerSearch": { "title": "Player Search Query", "type": "string", "description": "Player name to search when dataType is \"players\". Example: \"Messi\".\n" }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to return (0 = no limit).", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```